Data & Quant Implementation Analyst

Posted 7 Days Ago
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Sofia, Sofia-grad
1-3 Years Experience
Financial Services
The Role
The Data & Quant Implementation Analyst at AHL is responsible for maintaining data integrity, utilizing data analytics techniques, resolving issues with trading models, collaborating with peers, and leveraging technology to enhance investment management processes. The role offers exposure across AHL and Man Group, presenting opportunities for learning and development.
Summary Generated by Built In

The Team

The AHL Investment and Data Implementation (IDI) team is organised into small cross-functional teams, spanning Hong Kong, London & Sofia, with responsibilities for the implementation of all AHL new business (Funds, Investment strategies, new asset classes, new markets, etc.), the integrity of the inputs (data & parameters) and outputs (model signals) from the systematic models and long-term strategic development of our systematic trading platforms and processes.

IDI work closely with Portfolio Managers, Quantitative Research, Trading, Technology, Risk, Business Management, and external counterparts to ensure the smooth running of the end-to-end trading process, testing, and implementation of portfolio research changes across a variety of research and strategic platform initiatives.

To achieve this efficiently and effectively, IDI leverages both the varied background of its members, including Computer Science, Mathematics, Natural Sciences, Engineering, Business Management and Finance, plus a combination of an extensive relationship network spanning across all of Man Group (not just within AHL). The team also leverages their wide skillset including empirical research, Technology (namely Python and SQL), creativity, project management and critical thinking.

The Role

IDI are seeking a highly motivated professional with strong communication and data analytics skills with the ability to consistently apply critical thinking to a wide range of business problems.

IDI members are responsible for the day-to-day management and oversight of AHL’s systematic trading system and models, data integrity, the accurate implementation of all new business initiatives, new research ideas and risk management parameters as well as collaborating with an array of stakeholders and coordination of projects.

The role offers a high level of exposure across AHL, and the wider Man Group, continually presenting opportunities to learn and develop, achieve new goals, nurture new relationships, and reach your full potential.

Key Responsibilities:

  • Accountability for the ongoing drive for data integrity (market & static) used for systematic trading algorithms and by the quantitative research teams
  • Utilise data analytics techniques (preferably in Python) to interrogate and visually represent structured and unstructured data related to AHL investment activity
  • Detect, diagnose and resolve issues with AHL trading models and the systematic trading system
  • Collaborate with and lead peers across AHL to define, deliver and own resilient operating models and robust business processes
  • Leverage technology to enhance, automate and streamline daily investment management processes
  • Design, implement and support the architecture of AHL’s trading environment, including data aggregation, position management, component monitoring and quantitative implementation
  • Collaborate with technology teams across Man Group to design, steer and test strategic developments across various platforms
  • Develop a thorough understanding of Man Group systems and use this to actively identify and resolve time-sensitive issues.

Skills and Attributes:

At AHL we are a meritocracy and strive to hire only the brightest, highest skilled and most passionate professionals.

Required:

  • 2+ years of relevant work experience in data analytics and/or investment management
  • Ability to simultaneously mange many workstreams and competing priorities
  • Dependable judgement under pressure
  • Strong verbal and written communication
  • Data management experience

Preferred:

  • Experience steering or materially delivering into complex projects
  • Ability to effectively utilise SQL and python, with its relevant libraries (e.g. NumPy/SciPy/Pandas), for data analysis and process automation
  • Ability to draw conclusions and portray findings by studying and visually representing structured and unstructured data
  • Working understanding of the financial assets traded by AHL, including futures, FX, equities, options & bonds

Personal Attributes:

  • Strong academic record and a degree with high mathematical and analytical content
  • Intellectually robust with a keenly analytic approach to problem solving
  • The ability to distil down complex problems to facilitate timely issue resolution and communication
  • Focus on delivering value to the business with continuing efforts to improve process
  • Excellent attention to detail
  • Strong communication skills and a collaborative personality

Our Culture, Values and Benefits at Man

Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equal opportunities. At Man Group we believe that a diverse workforce is a critical factor in the success of our business and this is embedded in our culture and values. There are a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and that encourage inclusion and diversity across our firm and the industry. Man Group is a Signatory of the Women in Finance Charter and the Race at Work Charter. Man Group is also a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact [email protected]. https://www.man.com/diversity

Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme.

We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.

Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact [email protected].

Top Skills

Python
The Company
HQ: New York, NY
2,471 Employees
On-site Workplace
Year Founded: 1783

What We Do

Man Group is a global active investment management firm, which runs $127 billion* of client capital in liquid and private markets, managed by investment specialists based around the world. Headquartered in London, the firm has 15 international offices and operates across multiple jurisdictions. Our business has five specialist investment engines, which represent the range of our capabilities: Man AHL, Man Numeric, Man GLG, Man FRM and Man GPM.

These engines house numerous investment teams, working collaboratively within the framework of Man Group, with a high degree of investment autonomy. Each team benefits from the strength and resources of the firm’s single operating platform, enabling their primary focus to be seeking to generate alpha for clients. The teams invest across a diverse range of strategies and asset classes with highly specialised approaches, with long only and alternative strategies run on a discretionary and quantitative basis in single and multi-manager formats. Our clients are at the heart of everything we do and we engage in close dialogue with our investors as strategic partners, to understand their particular needs and constraints. Man Group’s investment teams are empowered and supported by our institutional infrastructure and technology, which aims to facilitate the efficient exposure to markets and effective collaboration across the organisation.

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